GM - Data Scientist
At a glance
Mid-level Data Science role at Vodafone Idea. Pune.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Set the AI/ML roadmap for telecom work such as KPI prediction, anomaly detection, root-cause automation and predictive maintenance
- Choose model designs, experimentation methods and architecture for analytics solutions
- Lead data science teams and assess their designs, experiments and validation results
- Build ML systems for real-time diagnosis and forecasting, using spatial-temporal methods to address network behavior
- Create scalable pipelines on enterprise VMs and manage model governance, drift controls and explainability
What you bring
- A bachelor's or master's degree in computer science, engineering or a related field from a premier institution
- Expert Python ability, with advanced ML, deep learning, NLP, statistics and telecom analytics experience
- Knowledge of MLflow, Airflow and on-premises deployments, alongside generative and agentic AI
Who this fits
This role suits a technical data scientist ready to set direction and lead data science teams. The position is based in Pune, India.
From the employer
Role
GM – Data Scientist
Job Level/ Designation
M3/GM
Function / Department
SNOC
Location
Pune
Job Purpose
Own the AI/ML roadmap and lead technical strategy for large-scale telecom analytics KPI prediction, anomaly detection, RCA automation, log intelligence, LLM-based systems, and predictive maintenance.
Key Result Areas/Accountabilities
- Define AI/ML architecture, modeling frameworks, and experimentation strategy.
- Lead DS teams, review designs, experiments, and validations.
- Architect ML systems for real-time diagnostics and forecasting.
- Solve complex network behavior issues with spatial temporal ML.
- Build scalable pipelines on enterprise VMs.
- Translate network issues into ML solutions.
- Own model governance, drift controls, and explain ability.
Core Competencies, Knowledge, Experience
- Advanced ML: probabilistic models, anomaly detection, clustering.
- Deep Learning: LSTM, Transformers, embeddings.
- NLP: log classification, embeddings, similarity search.
- Math/Stats: optimization, time-series decomposition.
- Programming: Python expert.
- Telecom Analytics: KPI degradation, syslog/ISE analysis.
- MLOps: MLflow, Airflow, onprem deployments.
- GENAI, Agentic AI
Must have technical / professional qualifications
Bachelors or Master’s degree in Computer Science, Engineering, or related fields from premier institutions (IITs, NITs, BITS, or equivalent Tier-1 colleges)
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